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[Stabilized Version] IDC4U Interdisciplinary Studies: Artificial Intelligence and Business Innovatio
AssessmentBook (30%)
AS Survey 1.1: Exit Card - Building Connections and Community
AS Survey 1.1: Exit Card - Building Connections and Community
AS Survey 1.1: Exit Card - Building Connections and Community
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Course outline
Welcome Message from Paul Pu, the leading teacher
Welcome Message from AI Assistants
Course Roadmap of IDC4U Interdisciplinary Studies: AI and Business Innovation
Lesson 1.1 Building Connections and Community （3 hours)
Lesson 1.2 Introduction to KCI（3 hours)
Lesson 2.1 Role of Technology in Modern Startups ( 1 hour）
Lesson 2.2 Michael E. Porter's Competitive Strategy （ 3 hours)
Lesson 2.3 Design Thinking （ 2 hours)
Lesson 2.4 Project Step 1 ( 3 hours)
Lesson 3.1 AI and Its History( 3 hours)
Lesson 3.2 Introduction to Algorithms ( 3 hours)
Lesson 3.3 Programming Basics and IDES ( 3 hours)
Lesson 3.4 project Step 2 ( 3 hours)
Lesson 4.1 Understanding Machine Learning (3 hours)
Lesson 4.2 Data_Science_Foundations_to_Insights_2026-01-04 (3 hours)
Lesson 4.3 Project step 3 (3 hours)
Lesson 4.4 Project Step 4 (3 hours)
Lesson 5.1 Test 1 (3 hours)
Lesson 5.2 Evaluation 1： MidTerm exam (3 hours)
Lesson 6.1 Understanding Natural Language Processing (NLP) (3 hours
Lesson 6.2 Prompt Engineering (3 hours)
Lesson 6.3 Project Step 5 Planning for Natural Language Process (3 hours)
Lesson 7.1 Introduction to GenAI (3 hours)
Lesson 7.2 Business Applications of GenAI (3 hours)
Lesson 7.3 Advanced Topics, Ethics GenAI (3 hours)
Lesson 7.4: Project Step 6: Create a Promotional Video or Pitch Deck Using Generative AI Tools (3 hours)
lesson 8.1 Robotics (AI‑Integrated Rob (3 hours)
Lesson 8.2 Robotics in Practice -NAO （3 hours）
Lesson 8.3 Project step 7 Robotics (3 hours)
Lesson 9.1 Responsible AI Exploring Ethical Challenge (3 hours)
Lesson 9.2 The Future of Work How AI is Transforming (3 hours)
Lesson 9.3 Project Step 8 (3 hours)
Lesson 10.1 The Future of AI - Horizon (3 hours)
Lesson 10.2 The Future of AI - From Trend to Venture (3 hours)
AS Activity 1.1.1: Interpersonal Skills
AS Activity 1.2.1: Research Using the KCI Framework and ChatGPT
Activity 2.1.1: Mapping Airbnb's Journey to Success
Activity 2.1.2: Teams analyze a case study to identify which competitive strategy
Activity 1.3.1: Sketch a Diagram of the Design Thinking Proces
Activity 1.3.2: Design Thinking in Practice(1 hour 45 minutes)
Activity 3.1.1: Understanding Geoffrey Hinton - Contributions and Perspectives
Activity 3.1.2, Active Learning: Applying AI History to Brainstorm AI and Sustainability
Activity 3.2 Discovering Algorithms through AI-Enhanced Learning
Activity 3.3.1: Learning to Code Your Logic
Activity 3.3.2: Calculating the GCD
Activity 3.3.3: Performance Comparison of Sorting Algorithms
Activity 4.1.1 Using Teachable Machine
Extra 1.1: DeepSeek vs. ChatGPT: User Experience Comparison
Activity 5.1: Hands-On NLP Exercises: Applying Prompt Engineering to Startups
Activity 5.2： The Key Differences Between DeepSeek and ChatGPT
Project Step 2 Activity: Building Your Startup Team and Crafting Your Vision
Project Step 3-Activity: Planning data sources for your startup company
Activity: Project Step 4-Planing Machine Learning solutions for your startup company
Activity: Final project collaboration
7 Examples of Design Thinking in Practice
Case Study: Startup Success Story: The Airbnb Revolution
Porter's five forces analysis for Tesla
Case Study: Bill Gates Motivational Videos
Top 30 NLP Use Cases in 2024: Comprehensive Guide
FOR Survey 1.1.1 Your Insights About AI
OF Assignment 1.1 Build Your Online Profile
FOR Survey 1.2 Prior Learning Experience
AS Survey 1.2: Exit Card - KCI Reflection
Exit Card1.3: Short Survey
Quiz 1.3.1: Design Thinking
Quiz 2.1.1: Startups and Competitive Strategies
Exit Card 2.1
Exit Card 2.2
Survey 3.1. Assessing Your Understanding of the History of AI: A Survey on Learning Objectives
Quiz 3.1, Artificial Intelligence and Its History
Exit Card 3.1
Survey 3.2.1. Assessing Your Understanding of Algorithms: A Survey on Learning Objectives
Quiz 3.2: Discovering Algorithms through AI-Enhanced Learning
Test 1_X: Evaluation of Knowledge in Design Thinking, Business Competitive Strategies, and Artificial Intelligence Concepts
Survey 3.3.1. Assessing Your Understanding of Programming Languages: A Survey on Learning Objectives
Exit Card 3.2
Quiz 3.3： Learning Algorithms in Coding with AI Tools like ChatGPT
Exit Card 3.3
Survey 4.1. Assessing Your Understanding of Machine Learning
Quiz 4.1: Understanding Machine Learning
Exit Card 4.1
Test 2: Evaluation of Knowledge in Algorithms， programming language， and Machine Learning.
Midterm Test – Inquiry-Based Problem Solving with AI Tools
Exit Card 4.2
Guest Survey 1.1. Guest Speaker: Dr. Bao on AI in Marketing – A Case Study
Guest Survey 1.2. Guest Speaker: Professor Lin on AI in Marketing
Guest Survey 1.3. Guest Speaker: Professor Preeti Raman on Data Analytics and Visualizations
Exit Card 4.3
Exit Card 4.4
Survey 5.1. Assessing Your Understanding of natural language processing (NLP) and Its Business Applications: A Survey on Learning Objectives
Quiz 5.1: NLP and Prompt Engineering
Exit Card 5.1
Learning Progress Survey: Exploring KCI, Design Thinking, and Project-Based Learning in AI and Business Innovation
Quiz 7.1 Robotics
Test 3: Evaluation of Knowledge in NLP and Prompt Engineering
Survey 9.1: End-of-Course Reflection Survey on Redefinition of Teaching and Learning through AI in an Interdisciplinary Context
Project Step 1: Develop Your Ideas and Assemble Your Startup Team
Midterm Project: Inquiry-Based Problem Solving with AI Tools
Project Step 3: Planning data for your startup company
Project Step 4- Planning Machine Learning Solutions for your startup company
Project Step 5- Planning for Natural Language Processing (NLP) Applications in Your Startup
Final Project: Implementing AI Initiatives in Your Startup Business
Project Step 1: Develop Your Startup Ideas and Build Your Team
Project Step 2: Building Your Startup Team and Crafting Your Vision
Project Step 3: - Planning data sources for your startup company
Project Step 4: - Planning Machine Learning Solutions for your startup company
Project Development Roadmap Step 5_Planning for Natural Language Processing (NLP) Applications in Your Startup
Project Step 6. Creating a Promotional Video or PPT for Your Startup Using Generative AI Tools
Project Development Roadmap Step 7_Planning for Using robotics in your organization
Project Development Roadmap Step 8_AI, Employment, and Ethical Considerations
Final Project: Implementing AI Initiatives in Your Startup Business